Data Scientist Job in Cognizant

Demonstrated exceptional expertise and professional experience in AI and machine learning, with a specific focus on Language Models (LLM) and Generative AI technologies.
2. Proficiency in designing, developing, implementing, and maintaining advanced LLM systems across a range of applications.
3. Proficient in programming languages like Python, Java, or similar, and knowledgeable in AI and machine learning platforms such as TensorFlow, PyTorch.
4. Expertise in AI system design in cloud platforms such as cloud platforms like AWS, GCP, or Azure.
5. Strong analytical and problem-solving skills to analyze complex datasets for improving model performance, along with proficiency in validating and optimizing machine learning models for deployment and production purposes.
6. Experience in creating and maintaining robust data pipelines for machine learning model training and deployment.
7. Comprehensive understanding of data security, integrity, and confidentiality best practices, with strict adherence to data privacy regulations.
8. Excellent collaboration skills, with demonstrated ability to effectively work with cross-functional teams, including data scientists, engineers, and product managers.
9. Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders.
10. Strong attention to detail and excellent documentation skills for accurately capturing processes, designs, and updates.
11. Familiarity with Agile/Scrum development process and experience with publications in reputed AI or ML journals would be advantageous.
12. A Master's degree or higher in a relevant field such as Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Engineering, or a related field.
13. Proven professional experience in AI/ML roles with a preference for experience as an LLM Architect.
14. Commitment to staying current with the latest trends and advancements in generative AI, machine learning, and LLM technologies.
15. Exceptional problem-solving skills, analytical abilities, and a detail-oriented mindset.